【摘要】 为探讨三七中活性成分三七皂苷Ft1和Fc治疗血栓疾病的作用机制，通过Swiss Target Prediction、Super-pred、BindingDB数据库检索三七Ft1、Fc靶点，在OMIM、Gene Cards、Drug Bank数据库中检索与血栓疾病发生相关靶点，借助Venny网站和STRING数据库建立靶蛋白互作网络模型，使用Centiscape 2.2进行拓扑参数分析，并且对三七Ft1和Fc核心靶点进行GO、KEGG通路富集分析，最后进行分子对接验证。结果表明，三七皂苷Ft1、Fc分别有90和149个预测靶点，4303个与血栓疾病发生相关靶点，维恩图分析核心靶点分别为14和18个，其中三七Ft1与其核心靶点STAT3、VEGFA、HSP90AA1紧密结合，三七Fc与其核心靶点STAT3、VEGFA、CXCR4紧密结合。基于网络药理学，探讨三七皂苷Ft1和Fc治疗血栓多靶点和多途径的特性，为三七皂苷Ft1和Fc治疗血栓疾病的研究提供了新思路。更多还原

【Abstract】 To investigate the mechanism of action of the active ingredients notoginsenoside Ft1 and Fc in the treatment of thrombotic diseases, the targets of notoginsenoside Ft1 and Fc were retrieved through Swiss Target Prediction, Super-pred and BindingDB databases, and the targets related to thrombotic diseases were retrieved in OMIM,Gene Cards and Drug Bank databases.With the help of Venny’s website and STRING database, the target protein interaction(PPI) network model was established, the topological parameters were analyzed using Centiscape 2.2,and the GO and KEGG pathway enrichment analysis was performed on the core targets of notoginsenoside Ft1 and Fc, and finally the molecular docking verification was carried out.The results showed that notoginsenoside Ft1 and Fc had 90 and 149 predicted targets, 4 303 targets related to thrombotic diseases, and 14 and 18 core targets for Venn diagram analysis, respectively, among which notoginsenoside Ft1 was closely bound to its core targets STAT3,VEGFA and HSP90AA1,and notoginsenoside Fc was closely bound to its core targets STAT3,VEGFA and CXCR4.Based on network pharmacology, this study explores the characteristics of notoginsenoside Ft1 and Fc in the treatment of thrombosis with multiple targets and pathways, which provides a new idea for the study of notoginseng saponin Ft1 and Fc in the treatment of thrombotic diseases.更多还原